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Record W7097784826

MEASUREMENT OF ODOUR EMISSIONS FROM HOG OPERATIONS IN MANITOBA Final Report Submitted to Manitoba Livestock Manure Management Initiative Inc. and Triple S Hog Manure Management Initiative

2000· article· en· W7097784826 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsBarnManureManure managementOdorOlfactometerLivestock
DOInot available

Abstract

fetched live from OpenAlex

Odour emissions were measured on ten (10) hog farms in Manitoba in 1999 and 2000. Five of the ten farms were farrow-to-finish operations (size ranging from 130 to 800 sows), two nursery operations (5,000 and 10,000 hogs), two farrow-nursery operations (2,500 and 3,000 sows), and one grow/finish operation (4,000 hogs). Seven of the ten operations included in this study were less than 5 years old, and the other three were 10, 35 and 40 years old, respectively. On each selected farms, odour samples were taken from (i) barn exhaust, (ii) manure storage, and (iii) downwind (50 m to 3.5 km). A flux hood was used to collect odour samples from land application of manure on three farms. Odour levels (concentrations) of collected samples were determined by using a dynamic-dilution olfactometer with six screened human assessors. A Jerome was used to measure hydrogen sulfide (H2S) levels of odour samples taken from six farms in 2000. Farm-average odour levels from barn exhaust ranged from 131 to 1842 OU on ten farms. The farms could be divided into three groups according to their odour levels: four in a low odour level group (131 to 252 OU), four in a medium level group (641 to 750 OU), and two in a high level group (1765 to 1842 OU). No apparent correlations were found between the odour level

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.255
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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